U.S. Senate delays crypto market structure bill after Coinbase raises objections

ambcryptoPublicado em 2026-01-15Última atualização em 2026-01-15

Resumo

The U.S. Senate Banking Committee has delayed consideration of a crypto market structure bill following objections from Coinbase CEO Brian Armstrong, who argued the draft contained multiple "deal-breakers." Key concerns include provisions that could effectively ban tokenized equities, impose restrictions on DeFi, expand SEC authority, and eliminate stablecoin rewards. The delay reflects legislative uncertainty, particularly around stablecoin rules and bipartisan disagreements. Despite the pause, negotiations continue, with lawmakers aiming to reconcile industry concerns while maintaining regulatory clarity and bipartisan support. The bill's future remains uncertain as stakeholders work to address unresolved issues.

The U.S. Senate Banking Committee has delayed consideration of a long-awaited crypto market structure bill.

The delay comes after objections from Brian Armstrong of Coinbase raised fresh concerns about whether the legislation could advance in its current form.

The committee had been expected to move forward with a markup on Thursday, 15 January, but lawmakers opted to pause discussions following public criticism from Brian Armstrong.

He said the company could not support the draft as written and would prefer no bill to a “bad bill”.

Coinbase flags multiple deal-breakers

Armstrong outlined several areas of concern after reviewing the draft text. The concerns included provisions he said would amount to a de facto ban on tokenized equities.

Also, he flagged restrictions on decentralized finance that could expand government access to financial data, as well as amendments that would effectively eliminate rewards on stablecoins.

He also warned that the bill could weaken the authority of the Commodity Futures Trading Commission while expanding the role of the Securities and Exchange Commission, a shift long opposed by much of the crypto industry.

Coinbase’s stance marked a notable escalation, given the company’s role as one of the most influential industry participants in Washington and a long-time advocate for clearer crypto regulation in the United States.

Markup pause reflects vote uncertainty

The decision to delay the markup reflects uncertainty among lawmakers about whether the bill had sufficient support to advance out of committee.

Stablecoin provisions, in particular, have emerged as a key point of contention. Divisions were reported among Republicans, and lingering concerns among Democrats about consumer protection and conflicts of interest.

Under the current draft, crypto firms would be barred from paying interest on stablecoin holdings. At the same time, banks have argued that allowing such rewards could lead to deposit outflows.

Crypto companies counter that banning rewards would entrench incumbent financial institutions and undermine competition.

Senate leadership signals talks are ongoing

Despite the delay, Senate Banking Committee chair Tim Scott sought to emphasize that negotiations have not broken down.

Scott said lawmakers, industry participants, and regulators remain engaged in good-faith discussions, describing the pause as part of an ongoing bipartisan process.

The bill is intended to establish clearer definitions for when crypto assets fall under securities or commodities law and to clarify regulatory jurisdiction across federal agencies.

Legislative path remains uncertain

While Senate leaders have not ruled out returning to the bill after revisions, the delay highlights the influence major industry players can exert at critical stages of the legislative process.

For now, the market structure bill remains on hold as lawmakers assess whether changes can bridge gaps between regulators, financial institutions, and the crypto industry.


Final Thoughts

  • The markup delay highlights how unresolved disputes over stablecoins, DeFi, and regulatory authority continue to complicate efforts to deliver clear US crypto rules.
  • With negotiations ongoing, the bill’s future now depends on whether lawmakers can reconcile industry concerns without losing bipartisan support.

Perguntas relacionadas

QWhy did the U.S. Senate Banking Committee delay consideration of the crypto market structure bill?

AThe delay came after objections from Coinbase CEO Brian Armstrong raised fresh concerns about the legislation, leading lawmakers to pause discussions.

QWhat were the main concerns Brian Armstrong raised about the draft bill?

AArmstrong's concerns included provisions that would amount to a de facto ban on tokenized equities, restrictions on DeFi that expand government access to financial data, amendments eliminating stablecoin rewards, and a shift in regulatory authority from the CFTC to the SEC.

QWhat was a key point of contention regarding stablecoins in the bill?

AA key point of contention was a provision that would bar crypto firms from paying interest on stablecoin holdings, with banks warning it could lead to deposit outflows and crypto companies arguing it would undermine competition.

QHow did Senate Banking Committee chair Tim Scott characterize the delay in the legislative process?

ATim Scott emphasized that negotiations had not broken down, describing the pause as part of an ongoing bipartisan process with continued good-faith discussions among lawmakers, industry participants, and regulators.

QWhat is the primary purpose of the crypto market structure bill according to the article?

AThe bill is intended to establish clearer definitions for when crypto assets fall under securities or commodities law and to clarify regulatory jurisdiction across federal agencies.

Leituras Relacionadas

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

A Chinese company, Tomorrow's Journey (Nextie), has introduced what it is calling the industry's first "cognitive model" for edge devices. Named New Journey Alpha, this 4-billion-parameter model reportedly matches the performance of trillion-parameter giants like GPT-5.4 in group intelligence tasks such as debate and collective decision-making. The development follows Andrej Karpathy's vision of stripping vast factual knowledge from large language models to retain only a smaller "cognitive core" capable of reasoning, planning, and knowing its own limits. This approach directly addresses the soaring computational costs and token expenses hindering AI's widespread deployment, as highlighted by incidents like Amazon shutting down an internal AI tool due to prohibitive costs. Trained via reinforcement learning on a corpus of academic papers from 1800-2020 to enhance generalization, the model enables three key advancements: 1) Improved decision quality in multi-agent systems, 2) Drastically reduced compute costs, allowing for cost-effective cloud or on-device (e.g., MacBook) deployment, and 3) The feasibility of "proactive" AI agents that act autonomously without user prompts, unlocking new commercial possibilities beyond today's reactive models. Built by the former Microsoft Xiaoice team—known for creating a 3.6B model that outperformed a 65B Llama model—the company is now focusing on the multi-agent systems sector, a field gaining significant investor interest. The model's economic impact is profound; by achieving high-level performance with minimal parameters, it fundamentally alters the cost structure of AI services, challenging the prevailing model of ever-larger parameter counts.

marsbitHá 2h

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

marsbitHá 2h

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

A new transformative technology emerges every few generations. OpenAI draws a parallel with the advent of electricity in the 1920s, which initially brought convenience but ultimately enabled unprecedented progress in medicine, engineering, and living standards by empowering people to create new possibilities. AI is poised to recreate this phenomenon. Its true significance lies not in the technology itself, but in what people can achieve with it—from understanding a medical bill or starting a business to aiding scientific discovery. OpenAI believes AI should be universally accessible, allowing everyone to use it according to their own needs. This future, however, is not guaranteed. While transformative tech can centralize power, OpenAI's philosophy is that AI must serve humanity, augmenting human capabilities and broadly distributing its benefits. The company's first commitment is to build AI for human service, aiming to empower the many rather than concentrate power in a few. Safety, alignment with human intent, and oversight are paramount. OpenAI is optimistic about AI's potential to expand human welfare but remains clear-eyed about risks. The goal is to help people achieve more, not to replace them. Full automation is not the desired future; human judgment, values, and direction will become even more critical. OpenAI outlines three core goals: 1. Build automated AI researchers to accelerate and increasingly automate the research process itself, maintaining close human collaboration. The internal projection is that by March 2028, a significant portion of their research will be conducted by AI systems working alongside human researchers. 2. Accelerate economic development by advancing science, boosting productivity, and fostering growth, while ensuring the fruits are widely shared. 3. Provide a personal AGI for everyone on Earth, allowing individuals to benefit from this transformative technology in their own way. The company is entering its third phase, moving from foundational AGI research (Phase 1) to product deployment and learning from real-world use (Phase 2). The current challenge is making advanced AI abundant, affordable, safe, practical, and usable for all individuals and organizations. OpenAI concludes that a widely distributed power structure leads to a more resilient, adaptable, and free society. A positive AI future should not be controlled by a handful of entities but built, benefited from, and owned by many. If realized correctly, AI can become a cornerstone for enhancing global productivity, creativity, scientific advancement, and economic opportunity, fulfilling the mission to ensure AGI benefits all of humanity.

marsbitHá 3h

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

marsbitHá 3h

Trading

Spot
Futuros
活动图片